Image quality assessment based on visual perception and gradient structural similarity
Liu Zhi-fanga · 2011
This paper proposed a new metric of image quality assessment based on visual perception and gradient structural similarity(VI_GSSIM),which was a combination of visual perception information based on luminance and contrast masking effect.This method used the relevance between image quality and image content and distortion type of a degraded image,constructed visual perception with error visible and content visible to build a low-level HVS perception model,and then redefined structure information with image gradient to come into being the algorithm.The experimental results indicate that VI_GSSIM algorithm is more corresponding to the human visual system,especially suits to evaluate heavy distorting degraded image.